Atchade, Y. and Rosenthal, J. (2005) On adaptive Markov chain Monte Carlo algorithms. Bernoulli
Bedard, M. and Rosenthal, J.S. (2008) Optimal scaling of Metropolis algorithms: heading towards general target distributions. The Canadian Journal of Statistics
Bernardo, J.M. and Smith, A.F.M. (1994) Bayesian Theory. John Wiley and Sons, NY.
Cairns, A.J.G. (2000) A discussion of parameter and model uncertainty in insurance. Insurance: Mathematics and Economics
Carlin, B. and Chib, S. (1995) Bayesian model choice via Markov chain Monte Carlo methods. Journal of the Royal Statististical Society
Casella, G. and George, E.I. (1992) Explaining the Gibbs Sampler. The American Statistician
Congdon, P. (2006) Bayesian model choice based on Monte Carlo estimates of posterior model probabilities. Computational Statistics and Data Analysis
Dunn, P.K. and Smyth, G.K. (2005) Series evaluation of Tweedie exponential dispersion model densities. Statistics and Computing
England, P.D. and Verrall, R.J. (2002) Stochastic claims reserving in general insurance. British Actuarial Journal
Gelman, A., Carlin, J.B., Stern, H.S. and Rubin, D.B. (1995) Bayesian Data Analysis. Chapman and Hall/CRC Texts in Statistical Science Series, 60.
Gelman, A., Gilks, W.R. and Roberts, G.O. (1997) Weak convergence and optimal scaling of random walks metropolis algorithm. Annals of Applied Probability
Gilks, W.R., Richardson, S. and Spiegelhalter, D.J. (1996) Markov Chain Monte Carlo in Practice. Chapman and Hall, Florida.
Green, P. (1995) Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika
Jørgensen, B. and de Souza, M.C.P. (1994) Fitting Tweedie's compound Poisson model to insurance claims data. Scandinavian Actuarial Journal, 69–93.
Robert, C.P. and Casella, G. (2004) Monte Carlo Statistical Methods, 2nd Edition Springer Texts in Statistics.
Roberts, G.O. and Rosenthal, J.S. (2001) Optimal scaling for various Metropolis-Hastings algorithms. Statistical Science
Rosenthal, J.S. (2007) AMCMC: An R interface for adaptive MCMC.
Computational Statistics and Data Analysis
Smith, A.F.M. and Roberts, G.O. (1993) Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods. Journal of Royal Statistical Society
Smyth, G.K. and Jørgensen, B. (2002) Fitting Tweedie's compound Poisson model to insurance claims data: dispersion modelling. Astin Bulletin
Tweedie, M.C.K. (1984) An index which distinguishes between some important exponential families. In Statistics: Applications in new directions. Proceeding of the Indian Statistical Institute Golden Jubilee International Conference, Ghosh, J.K. and Roy, J. (eds.), 579–604, Indian Statistical Institute Canada.
Wright, E.M. (1935) On asymptotic expansions of generalized Bessel functions. Proceedings of London Mathematical Society
Wüthrich, M.V. (2003) Claims reserving using Tweedie's compound Poisson model. Astin Bulletin
Wüthrich, M.V. and Merz, M. (2008) Stochastic Claims Reserving Methods in Insurance, Wiley Finance.